Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

TY - JOUR

T1 - Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

AU - Rosen, Natalie O.

N1 - Publisher Copyright: © 2020 National Academy of Sciences. All rights reserved.

PY - 2020/8/11

Y1 - 2020/8/11

KW - Ensemble methods

KW - Machine learning

KW - Random Forests

KW - Relationship quality

KW - Romantic relationships

UR - http://www.scopus.com/inward/record.url?scp=85089613576&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85089613576&partnerID=8YFLogxK

U2 - 10.1073/pnas.1917036117

DO - 10.1073/pnas.1917036117

M3 - Article

C2 - 32719123

AN - SCOPUS:85089613576

SN - 0027-8424

VL - 117

SP - 19061

EP - 19071

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 32

ER -